Imports

import json
import sys
sys.path.append('../')
from matplotlib import pyplot as plt
from matplotlib import gridspec
import matplotlib
from utils import *

Read metadata file

f = open('Data/metadata.json')
metadata = json.load(f)

# view metadata present in the file
metadata

{'min_pitch': 165,
 'max_pitch': 440,
 'start_time': 500,
 'end_time': 530,
 'vocal_audio_path': 'Data/NIR_VS_Bhoop_Vox.wav',
 'mix_audio_path': 'Data/NIR_VS_Bhoop_StereoMix.wav',
 'cycle_file': 'Data/NIR_VS_Bhoop_Metre_VilambitEktal.csv',
 'tonic': 220,
 'notes': [{'label': 'P_', 'cents': -500},
  {'label': 'D_', 'cents': -300},
  {'label': 'S', 'cents': 0},
  {'label': 'R', 'cents': 200},
  {'label': 'G', 'cents': 400},
  {'label': 'P', 'cents': 700},
  {'label': 'D', 'cents': 900},
  {'label': "S'", 'cents': 1200},
  {'label': "R'", 'cents': 1400},
  {'label': "G'", 'cents': 1600},
  {'label': "P'", 'cents': 1900}]}

Play The Audio Being Analysed

playAudio(metadata['mix_audio_path'], metadata['start_time'], metadata['end_time'])

Initialise And Populate The Figure

%%capture
# initialise figure, with 3 subplots
fig, axs = generateFig(3, (14, 7), [2, 3, 3])

# plot waveplot
axs[0] = drawWave(metadata['mix_audio_path'], metadata['start_time'], metadata['end_time'], axs[0], annotate=True, cyclePath=metadata['cycle_file'], numDiv=4)
# plot spetogram
axs[1] = spectogram(metadata['mix_audio_path'], metadata['start_time'], metadata['end_time'], 'Blues', axs[1], yticks=True, annotate=True, cyclePath=metadata['cycle_file'], numDiv=4)
# plot pitch contour
axs[2] = pitchCountour(metadata['vocal_audio_path'], metadata['start_time'], metadata['end_time'], metadata['min_pitch'], metadata['max_pitch'], metadata['notes'], metadata['tonic'], ax=axs[2], annotate=True, cyclePath=metadata['cycle_file'], numDiv=4, xticks=True, yticks=True)

# display figure
fig